Open access
Jul 2026
Revisiting Classical and Deep Learning Models for Multi-Class Brain MRI Classification under Severe Data Constraints
The studies indicate that CNNs exploit spatial characteristics but generalize poorly, whereas SVM is quite accurate due to dataset bias, and ResNet-50 demonstrates early saturation, indicating the disparity between model size and dataset scale.
Bekir Karlik, Emilija Beneja
· Systems and Computing · 0 citations